Introduction to Scientific Computing

Catalog description

. This course will present scientific computation relevant to computational science and engineering, with an emphasis on the process of modeling, simulation, visualization and evaluation. Possible topics related to the five areas include: (modeling) continuous and statistical modeling; (simulation) solving and linear and non-linear systems, interpolation and approximation, numerical differential equations; (analysis) data mining and machine learning; (visualization) scalar and vector field visualization techniques; (evaluation) connection of results back to case-studies of interest from areas such as physics, biology, etc. Programming knowledge at the level of CS 1520, mathematical background at the level of MATH 3020 and basic knowledge of programming, matrix operations is required.